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simulation analysis of gear contact stress in reduction gearbox 5

Simulation analysis of gear contact stress in reduction gear...

引用

2020 5th international Seminar on computer Technology, Mechanical and Electrical Engineering, ISCME 2020

作者： Yang, Feng Fu, Zhong Yuan Tian, Zhao Dan Shanghai University of Electric Power LinGang Pudong New District shanghai China

In this paper, the contact stress of reducer gears is simulated and analyzed, and the assembly error is considered. Application of three-dimensional modeling software SolidWorks helical gear model is set up, and carried out in accordance with the working condition of two kinds of error assembly, including the backlash error and axis parallelism error, and the finite element analysis software ANSYS, the contact surface and tooth root, the contact stress of the online statics and dynamics analysis, it is concluded that the stress under two kinds of error and change situation, the size of the summary analysis of the influence on gear transmission, in the future has reference and guiding significance to the actual production of gear assembly. Combining the powerful modeling function of CAD software with CAE, it embodies the integration of CAD and CAE technology. © Published under licence by IOP Publishing Ltd.

关键词： Errors

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An Intelligent Virtual System Relocation Based Prediction Model for Optimal Resource Control in Vehicular Cloud

An Intelligent Virtual System Relocation Based Prediction Mo...

引用

Machine Learning, computer Systems and Security (MLCSS), international conference on

作者： Sukanta Das Alok Ranjan Tripathy Department of Computer Science Ravenshaw University Cuttack India

Various existing models attempt to handle proper management of resources using virtual system relocation in vehicle cloud but neither of these models gave satisfactory outcome. This research introduces a novel normalized predictive virtual system relocation (NPVSR) model which is an intelligent vehicle management scheme driven by the predictive ability of feature scaled artificial neural networks (ANN) to minimize the impact of random resource relocation in VCC. An iterative array road traffic-based simulation is presented in this work to compare the proposed predictive driven relocation scheme with other existing schemes. The simulation outcome depicted that both the virtual system (VS) relocation count and the failure overhead is reduced using NPVSR scheme. Also, the accomplished tasks are much more with NPVSR scheme than other models. The optimum training and testing accuracy obtained using 15 epochs were 95.4% and 94.6% respectively. The highest accuracy and latency delay recorded with 2 hidden layers was 93.96% and 0.14 seconds. The normalized ANN used in the NPVSR scheme was compared with other classifiers and it produced the best performance. Hence the developed model vehicle relocation model has improved the performance of vehicular cloud without utilizing too much available vehicular cloud resources.

关键词： Training Cloud computing Analytical models Computational modeling Artificial neural networks Predictive models Resource management

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Research and application of fast modeling methods for electromagnetic transients in large-scale power systems

Research and application of fast modeling methods for electr...

引用

Electrical Engineering and Control Technologies (CEECT), conference on

作者： Jianchao Li Yonghong Tang Donghui Zhang Zhiqin Liu Chizu Mao Lixin Chen School of Computer Science and Technology Southwest University of Science and Technology Mianyang China Tsinghua Sichuan Energy Internet Research Institute Tsinghua University Chengdu China Ultra High Voltage Transmission Company Southern Power Grid Company of China Limited) Guangdong China

ISBN: (纸本)9781665499002

With the increasing scale and complexity of power system operation, in order to further improve the efficiency and accuracy of electromagnetic transient modeling of large-scale power systems, this paper proposes a set of fast conversion modeling methods from electromechanical transient simulation software BPA to electromagnetic transient simulation software RTDS for electrical models. The key technologies of fast modeling from BPA electromechanical transient model to RTDS electromagnetic transient model are introduced in detail from data parsing and verification, data pre-processing, sub-system division, model conversion and automatic layout wiring, and the system is applied to the study of RTDS automation modeling in a province of Southern Power Grid. The results show that the relative error of node voltage after conversion does not exceed 0.00076%; the relative error of both active and reactive power does not exceed 0.07%, the relative error of active power output of generator is 0.076%, and the relative error of reactive power output is 0.21%, and the steady-state and transient characteristics of the system before and after conversion are basically the same, thus verifying the accuracy and reliability of the fast modeling method of RTDS.

关键词： Wiring Analytical models Reactive power Biological system modeling Layout Data models Power grids

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3D simulation of Brain Tumor from 3D MRI Using Geometric Convolutional Neural Network and Point Clouds 2nd

3D Simulation of Brain Tumor from 3D MRI Using Geometric C...

引用

2nd international conference on Intelligent Systems and Data Science, ISDS 2024

作者： Phan, Anh-Cang Nguyen, Khac-Tuong Truong, Minh-Phuong Nguyen, Thi-Hong-Yen Nguyen, Ngoc-Hoang-Quyen Vinh Long University of Technology Education Vinh Long Viet Nam

ISBN: (纸本)9789819796151

Brain tumor is a disorder caused by the growth of abnormal brain cells. Brain tumor is a major risk for the patient’s survival rate and quality of life since it can cause severe impairment of organ function and even death. In the study, the research team presented an approach by utilizing methods to the modeling of brain tumor by replacing 3D with 2D convolutions based on tumor segmentation on 2D images using the Geometric convolutional neural network (gCNN) and Point Cloud. This method not only enables to conduct an accurate reconstruction and location, but also aids in monitoring changes in tumor size and growth rate over time. A result of the study indicates that the implement of gCNN and Point Cloud significantly improves the accuracy and efficiency in brain tumor segmentation and monitoring, thus supporting medical practitioners in the diagnosis and treatment planning process. This approach holds immeasurable promise in the medical field, aiming to enhance the quality of care and treatment for patients with brain tumors. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

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The lightweight YOLOv8n-based algorithm for defect detection in aircraft engine turbine blades 24

The lightweight YOLOv8n-based algorithm for defect detection...

引用

Proceedings of the 2024 4th international conference on Computational modeling, simulation and Data Analysis

作者： Huakun Lin Rui Shi Xinhang Nie School of Computer Science and Engineering Sichuan University of Science & Engineering Yibin Sichuan China

ISBN: (纸本)9798400711831

Aircraft engines play a vital role in ensuring the safety of aircraft. In order to solve the problems of low efficiency and low accuracy of traditional pipeline mirror inspection method, this paper improved the method based on YOLOv8n, and proposed a lightweight algorithm of CALP-YOLO aero engine turbine blade defect detection. Firstly, CSPHet network is used instead of C2f network to improve lightweight performance and reduce model size and calculation requirements. Secondly, ADown subsampling module is introduced into the backbone network to enhance the feature extraction capability. Then, shared convolutional LSDECD is used to improve the detection header and enhance the multi-dimensional feature processing capability of the network. Finally, PIoU2, which is highly sensitive to the size and position of the boundary frame, is used as a loss function to improve the detection ability of the model in the case of turbine blade occlusion. The experimental results show that compared with YOLOv8n, CALP-YOLO reduces the number of parameters and the amount of computation by 50.4% and 44.5%, respectively. Recall rates and [email protected] increased by 3.6% and 1.0% to 97.8% and 99.3%, respectively. This model is lightweight and has excellent detection performance, which can meet the deployment requirements in the environment with limited computing resources, and has important engineering application value.

关键词： Attention mechanism

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Human Reliability Assessment in Control Systems

Human Reliability Assessment in Control Systems

引用

international Russian Automation conference, RusAutoConf 2020

作者： Solovyev, A.V. Federal Research Center "Computer Science and Control" of Russian Academy of Sciences 44/2 Vavilova Street Moscow119333 Russia

ISBN: (纸本)9783030711184

The article presents modeling of human reliability assessment (HRA) in control systems. The proposed approach to modeling HRA is based on an estimate of the human error probability (HEP). HEP is modeled depending on several important characteristics of a person, such as the ability to fatigue, the ability to rest, accuracy, the ability to tolerate information overload, the ability to remember information, the ability to make decisions in time-constrained conditions, and qualimetric characteristics. The study determined the required source data for HRA simulation. HRA various existing assessment methods have been studied. The relevance of the task of assessing HRA is confirmed by a large number of studies over the past 10 years. Typically, modeling is based on a Bayesian network, causal models, cognitive methods. Methods of analysis of psychological and physiological properties of a person, as well as qualimetric methods are also common. Despite the diversity of HRA models, uniform standard evaluation method does not exist. Most of the existing models are complex due to the large amount of human performance data required. On the contrary, the approach to HRA modeling proposed in this study is quite simple. The HRA mathematical model is based on the dependence of HEP on the operations performed by humans in the control system. This mathematical model for HRA assessment approved in the research and design of two large information systems. The proposed mathematical model is new. In the future we plan to increase the precision and credibility of the simulation results. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Control systems

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Aerodynamic simulation of a Typical Multirotor e VTOL Aircraft Configuration *

Aerodynamic Simulation of a Typical Multirotor e VTOL Aircra...

引用

IEEE international conference on Robotics and Biomimetics

作者： Menglong Ding Yanyan Zhang Shiqiang Zhu Wei Song Pengyu Zhao Xufei Yan Jiandong Cai Jason Gu Anhuan Xie Research Center for Intelligent Robotics Research Institute of Interdisciplinary Innovation Zhejiang Lab Hangzhou China Zhejiang Engineering Research Center for Intelligent Robotics Hangzhou China Department of Electrical and Computer Engineering Dalhousie University Halifax NS Canada

ISBN: (纸本)9781665481106

The aerodynamic interaction among rotors is a key phenomenon that influences the performance of the electric Vertical Takeoff and Landing (eVTOL) aircraft. This study applied Lattice-Boltzmann Method (LBM) to systematically investigate the aerodynamic interaction under typical flight conditions. simulation of a single rotor was performed to validate the reliability of LBM on rotor aerodynamics and find the maximum acceptable grid size. A numerical study on the complex unsteady flowfield caused by the sixteen rotors was also performed when considering the eVTOL is in hovering, forward flight and hovering under sidewind. Moreover, the analysis of the flowfield provides a detailed insight into the flow physics involved in such regular flight conditions.

关键词： Visualization Atmospheric modeling Rotors Aerodynamics Numerical models Reliability Aircraft

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An Overview of Crossover Techniques in Genetic Algorithm

An Overview of Crossover Techniques in Genetic Algorithm

引用

international conference on modeling, simulation and Optimization, CoMSO 2020

作者： Pachuau, Joseph L. Roy, Arnab Kumar Saha, Anish Department of Computer Science and Engineering National Institute of Technology Silchar Silchar788010 India

ISBN: (纸本)9789811598289

Artificial Genetic Algorithm is proposed to mimic the natural selection process. It provides an elegant and relatively simple way to solve non-polynomial problems. The crossover, one of the basic step of GA, is an imitation of reproduction in biological beings. Crossover exchanges information between different individuals to generate offspring with the hope of obtaining better genes. The basic aim of crossover is the same, but various approaches are proposed depending on the problem. This paper presents a review on the crossover, basics and some problem-specific techniques. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Genes

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Application of virtual simulation technology in campus network construction

Application of virtual simulation technology in campus netwo...

引用

Informatics, Networking and Computing (ICINC), international conference on

作者： Xiandong Li Jie Li Lijuan Yao Shandong Institute of Commerce & Technology Jinan ShanDong CHN

With the development of network technology, our environment is within the coverage of various networks. Campus learning, shopping mall, community construction and other networks are classified as campus networks, which are generally built by enterprises or institutions themselves. As more and more campus networks are built, and their functional requirements are different, the basic architecture design, network equipment configuration, and system authority control of the campus network need to be reasonably planned. The use of virtual simulation technology can effectively complete the planning, adjustment and testing of related campus networks. Before equipment procurement and delivery, complete the network topology design and equipment parameter configuration in a virtual environment, reduce the blindness of equipment selection, improve the efficiency of campus network construction, control the cost of the entire network project, and achieve efficient campus network construction and management. This paper describes the application of virtual simulation technology in campus network construction, realizes network environment construction under typical campus network architecture, and conducts rationality test.

关键词： Procurement Costs Computational modeling Virtual environments computer architecture Network architecture Control systems

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Big Data and Data Mining Technologies Driving Smart City Construction: A Bibliometrics Study from 2014 to 2024 24

Big Data and Data Mining Technologies Driving Smart City Con...

引用

Proceedings of the 2024 4th international conference on Computational modeling, simulation and Data Analysis

作者： Zhenkun Liu Dengyuan Pan Jiawen Zhong Haozhe Huang School of Communication and Electronic Engineering Jishou University Xiangxi Tujia and Miao Autonomous Prefecture Hunan China School of Civil Engineering Changsha College Changsha Hunan China School of Computer Science Xiangtan University Xiangtan Hunan China School of Information Science and Engineering Dalian Polytechnic University Dalian Liaoning China

ISBN: (纸本)9798400711831

The development of smart cities has become an essential strategy to tackle the challenges of global urbanization. Among them, big data and data mining technologies play a decisive role. However, there are currently few comprehensive studies that examine research priorities and prospective trends in this field. This study undertakes a comprehensive examination of 948 publications from the Web of Science Core Collection. Using bibliometrics methods and visualization tools such as VOSviewer and CiteSpace, we analyze the development and change of these technologies in smart cities construction from 2014 to 2024. More and more keywords relate to each other, and cross-domain integration highlights the developed complexity of the domain. Furthermore, this study identifies major authors and national collaboration networks. It illustrates that the geographical and interdisciplinary research effort in global. In addition, this study reveals the key advances and future direction for applying big data and data mining technologies to smart cities construction. It also provides a foundation for advancing scientific research and technological innovation in the field.

关键词： bibliometrics

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